Mineral Tracking Models: five years of Codelco experience
Conference presentation, Minería Digital 2026, Hotel Sheraton, Santiago, Chile

Conference presentation, Minería Digital 2026, Hotel Sheraton, Santiago, Chile

Conference presentation, 18th International Conference on Mineral Processing and Geometallurgy (Procemin Geomet 2022), Santiago, Chile
Presented at Procemin Geomet 2022, the premier mineral processing conference in Latin America. Formalizes mineral sample characterization as a topic modelling task using Latent Dirichlet Allocation (LDA) on hyperspectral pixels. The analogy: minerals are “topics”, spectral signatures are “words”, each pixel is a “document”. Provides experimental evidence on SWIR and VNIR wavelengths. Joint work with Alejandro Ehrenfeld, Felipe Garrido, Felipe Navarro, and Alvaro Egana.
Conference poster, AGU Fall Meeting 2021, New Orleans, USA (hybrid)
Poster presented at AGU Fall Meeting 2021. Demonstrates ML techniques for understanding spatial relationships between large porphyry copper deposits in northern Chile using seismic tomography and geological data. The work shows connections between subduction processes and mineralization patterns. Contribution to ML methodology in collaboration with D. Comte and others.
Conference Talk, Procemin Geomet 2020, Santiago, Chile
Slides of the presentation associated with the oral presentation for the Conference Procemin Geomet 2020.
Dissertation defense, Doctoral Electric Engineering Program of the University of Chile, Santiago, Chile
Slides of the presentation associated with the defense of the dissertation of my doctoral thesis, An information-theoretic sampling strategy for the recovery of geological images: modeling, analysis, and implementation.
Conference presentation, 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Rio de Janeiro, Brazil
Presented at IEEE SAM 2016 in Rio de Janeiro. This was Felipe’s first international conference presentation, supported by a travel grant from the Department of Electrical Engineering (DIE) at Universidad de Chile. The paper proposes a weighted compressed sensing (WCS) algorithm for channelized facies recovery, integrating signal structure in the DCT transform domain with multiple-point statistics. Results show excellent reconstruction even with 0.3%-1.0% sampling rates. Joint work with Hernan Calderon, Jorge F. Silva, Julian Ortiz, and Alvaro Egana.